ParTEETor: A System for Partial Deployments of TEEs within Tor

• URL: http://arxiv.org/abs/2408.14646v1
• Date: Mon, 26 Aug 2024 21:23:19 GMT
• Title: ParTEETor: A System for Partial Deployments of TEEs within Tor
• Authors: Rachel King, Quinn Burke, Yohan Beugin, Blaine Hoak, Kunyang Li, Eric Pauley, Ryan Sheatsley, Patrick McDaniel,
• Abstract summary: ParTEETor is a Tor-variant system that uses partial deployments of trusted execution environments to thwart known attacks. We evaluate ParTEETor for security, performance, and privacy.
• Score: 6.668496876628325
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The Tor anonymity network allows users such as political activists and those under repressive governments to protect their privacy when communicating over the internet. At the same time, Tor has been demonstrated to be vulnerable to several classes of deanonymizing attacks that expose user behavior and identities. Prior work has shown that these threats can be mitigated by leveraging trusted execution environments (TEEs). However, previous proposals assume that all relays in the network will be TEE-based-which as a practical matter is unrealistic. In this work, we introduce ParTEETor, a Tor-variant system, which leverages partial deployments of TEEs to thwart known attacks. We study two modes of operation: non-policy and policy. Non-policy mode uses the existing Tor relay selection algorithm to provide users incident security. Policy mode extends the relay selection algorithm to address the classes of attacks by enforcing a specific TEE circuit configuration. We evaluate ParTEETor for security, performance, and privacy. Our evaluation demonstrates that at even a small TEE penetration (e.g., 10% of relays are TEE-based), users can reach performance of Tor today while enforcing a security policy to guarantee protection from at least two classes of attacks. Overall, we find that partial deployments of TEEs can substantially improve the security of Tor, without a significant impact on performance or privacy.

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